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Posted by AmazingTurtle 2 days ago

OpenAI reduces Codex Model Context Size from 372k to 272k(github.com)
367 points | 162 commentspage 4
amelius 2 days ago|
"272k ought to be enough for anybody"
trilogic 2 days ago|
Thats not even enough to read a simple codebase, how is that enough?
sokoloff 2 days ago|||
Almost certainly an homage to “640kB ought to be enough for anybody.”

https://quoteinvestigator.com/2011/09/08/640k-enough/

trilogic 1 day ago||
That is a good point actually (this is how we at Hugston measure tokens, in bytes). 270k tokens should be around ~1100kb or 1 MB, so not really enough for a serious project.
greatsage_sh 1 day ago||
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feiz45607 1 day ago||
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robkam 2 days ago||
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rotariuvladimir 1 day ago||
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nttylock 2 days ago||
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greenoracle9 2 days ago||
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cyb3ralbert 2 days ago||
Context size cuts like this are usually a cost/latency tradeoff rather than a capability one - serving a smaller window is cheaper and keeps latency in check, and most sessions probably don't need anywhere near 372k tokens anyway. Curious if this affects people who were actually relying on the larger window for big codebases.
mikhailt 1 day ago|
We'll have to wait because Tibo (OpenAI) said this was a temporary measure and it'd go back to 372k soon.

The issue was more specific to higher token burn rates, not latency.

CurbStomper 1 day ago||
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aurbxyajwur 2 days ago|
5.6 is a mess
gurjeet 1 day ago|
Please elaborate.

> Please don't post shallow dismissals, especially of other people's work. A good critical comment teaches us something.

Sincerely, HN Guidelines Police :-)

https://news.ycombinator.com/newsguidelines.html